US6606093B1  Method and apparatus for antialiasing by gamma corrected area calculation  Google Patents
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 US6606093B1 US6606093B1 US09081073 US8107398A US6606093B1 US 6606093 B1 US6606093 B1 US 6606093B1 US 09081073 US09081073 US 09081073 US 8107398 A US8107398 A US 8107398A US 6606093 B1 US6606093 B1 US 6606093B1
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 G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
 G06T11/00—2D [Two Dimensional] image generation
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 G06T2200/00—Indexing scheme for image data processing or generation, in general
 G06T2200/12—Indexing scheme for image data processing or generation, in general involving antialiasing
Abstract
Description
The invention relates generally to display of video data in a computer system. More particularly, the invention relates to antialiasing of lines and/or points in a graphics display by gamma correction based on pixel area calculation.
Graphical images are represented in typical computer systems by individual points on a computer monitor known as pixels. There are typically thousands or several million pixels in a single computer display that are individually manipulated to form the twodimensional and threedimensional images which a user sees on the computer screen.
Each pixel is displayed at a specified intensity, with the intensity of each color component (e.g., red, green, and blue) pixel in a color system separately specified in accordance with the color model for the system. In monochrome systems, the pixel intensity is determined from the gray scale value of the pixel. In a typical computer graphics system, video driver circuitry specifies a voltage for each pixel displayed (or color component pixel in the case of RGB color systems). However, there is not a direct linear mapping between driver voltage levels and pixel intensity. Monitor response is nonlinear and a power law gamma correction curve describes the parametric relationship between the applied voltage (to the electrongun or pixel driver) and the displayed pixel intensity. The calculation by which the applied voltage needed to display a particular intensity is determined is known as gamma correction of intensity. The precise value of the gamma parameter is monitor dependent and typically varies from 2.0 to 3.0, although the National Television System Committee (NTSC) has defined a signal standard value of 2.2. The shape of the correction curve depends, in part, on the gamma parameter value.
In typical computer graphics systems, the driver voltages associated with predetermined pixel intensity values are stored in lookup tables, the number of entries in the lookup table ideally equaling the possible number of pixel intensity values. In order to determine the voltage output level required to achieve a desired pixel (or subpixel) intensity, the table entry corresponding to that intensity level is looked up and the value therein applied to the driver circuitry.
In a computer graphics system, a line segment (which may be, but is not necessarily, a polygon boundary) has both length and width. Each line segment is bounded by two edges, the distance between the edges being the width of the line segment, and each edge is bounded by two endpoints, one at either end of each line segment edge. Similarly, although pixels are often thought of as points, each pixel has finite boundaries and a defined area. In a typical computer system with square pixels, the pixel boundaries are the top, bottom, and sides of the pixel and the area is equal to the height times the width (i.e., length of a side boundary times the length of a top or bottom boundary). If the pixel dimensions are normalized, then each pixel boundary has a length of one and the magnitude of the area of each pixel is advantageously one.
Because the pixels in a computer graphics system are arranged in a rectangular grid, and are typically rectangular, purely vertical and horizontal lines (or line segments) and boundaries are generally displayed relatively precisely and with little distortion. However, lines that are not oriented at right angles are not neatly mapped onto adjacent pixels and undesirable distortions and artifacts can occur because of the imperfect mapping between diagonal lines and/or boundaries and pixels forming the display. Moreover, the edges of lines and/or polygons often do not map to precisely defined locations on the pixel boundaries, such as when the edge is not parallel to a horizontal or vertical axis, which may further distort the displayed image.
In particular, a form of distortion colloquially referred to as “jaggies” may occur because of the stairstepping effect which can be seen when a diagonal line is represented by a series of diagonally adjacent pixels. This stairstepping effect can be ameliorated by effectively blurring the pixels at the edge of a line.
Numerous techniques are known in the art for “blurring” the pixels, such as varying the intensity of certain pixels based on, for example, the percentage of pixel area covered by the line. However, many of the prior art techniques tend to be computationally complex, using complex filters and/or supersampling of pixels. Other prior art techniques reduced the need for extensive computations by using table look ups for antialiasing, at the cost of limiting adaptability (if the table entries were fixed) and necessarily requiring the implementation of unwieldy tables. Moreover, many of the prior art techniques are not readily scalable for wide lines of varying width as the computations quickly become impracticable given the performance constraints typically imposed.
Furthermore, lengthy tables can undesirably constrain the flexibility of a graphics system as table entries are typically predetermined and not readily modified, making it difficult for the graphics system to efficiently support multiple monitors and/or types of monitors that are unlikely to have identical operating characteristics.
In view of the foregoing, there is a need for a technique for antialiasing that is computationally efficient, does not require extensive tables, and is readily scalable.
The present invention provides an improved technique for antialiasing by gamma correction of pixel intensity of covered pixels wherein the pregamma corrected intensity is relative to the amount of the pixel covered by a line as determined from the intersections of the edges of a line and pixel boundaries. By applying gamma correction to a single pixel by linear interpolation on a cubic representation of a normalized gamma correction curve, the present invention does not require a lengthy lookup table. Moreover, the present invention is readily adaptable for operation with a variety of displays with differing gamma correction characteristics.
In an alternative embodiment of the present invention, line antialiasing is further enhanced by alphablending the line pixel with the background. In a second alternative embodiment of the present invention, the endpoints of antialiased line segments are evaluated appropriately by accurately assessing the amount of pixel area covered and varying the pixel intensity accordingly.
FIG. 1A is an illustration of a diagonal line segment.
FIG. 1B is an illustration of a pixel representation of a diagonal line segment.
FIG. 1C is an illustration of a pixel representation of a wide line segment.
FIG. 2 is an illustration of a line segment partially covering a plurality of pixels and triangles used to identify the point of interception between an edge of the line segment and a pixel boundary.
FIG. 3 is a flowchart representation of a method of antialiasing in accordance with an embodiment of the present invention.
FIG. 4 is a block diagram representation of a partial rasterizing engine illustrating elements used for antialiasing in accordance with an embodiment of the present invention.
FIG. 5 is an illustration of a line segment and a quad of pixels.
FIG. 6 is a block diagram of a line gamma correction block in a rasterizing engine in accordance with an embodiment of the present invention.
A novel method and apparatus for line antialiasing by gammacorrected area calculation in a computer graphics system is described herein. Line antialiasing is desirable in a rasterscan computer graphics system where objects and lines are represented by a set of discrete points on horizontal scan lines on the screen. Referring to FIG. 1A, a diagonal line 1 that is not pixelated is shown. Unlike a representation of the diagonal line on a computer display, the edges of the line are smooth and continuous, without any abrupt vertical or horizontal steps. Referring to FIG. 1B, a 45° line on a pixelated display is shown. In contrast to the line of FIG. 1A, the line is represented by a series of rectangular nonadjacent pixels 28. The two edges of the line are not smooth diagonal surfaces, rather they are formed by a series of horizontal and vertical pixel boundaries, creating an undesirable staircase effect. Referring to FIG. 1C, the staircase effect is shown on a relatively wide line 9 at an angle of approximately 30°. In a line that is more than one pixel wide, the pixels that are bounded by edge pixels and are inside the line are not antialiased.
In the present invention, antialiasing is accomplished by varying the pixel intensity in relation to the amount of pixel area covered by the line segment. Although calculating the area of pixel coverage typically requires extensive computations, the present invention provides an improved technique by which the pixel coverage area may be computed using arithmetic, cross products and limited division.
Because of the nonlinearity of the gamma correction curve and the logarithmic nature of human perception of intensity, incrementally changing the pixel intensity cannot be accurately achieved by direct linear mapping of a change in pixel intensity to the change in driver voltage (e.g., reducing the driver voltage by 30% will not necessarily reduce associated pixel (or subpixel) intensity by 30%). Therefore, it is necessary to evaluate the gamma correction curve at the desired pixel intensity to determine the output level needed to achieve the desired intensity. In the present invention, the gamma correction curve is characterized as a cubic spline and the desired output level is determined by linear interpolation applying the de Casteljau algorithm, eliminating the need for extensive storage and/or transfer of gamma correction curve tables.
In an embodiment of the present invention, the pixel color attributable to the antialiased line segment is alpha blended with the background color where the degree of alpha blending is proportional to area of pixel coverage.
Referring to FIG. 2, a line segment with a first edge 10 and a second edge 20 is shown crossing a plurality of pixels 30, including pixel 40. Pixel 40 has four corners 41, 42, 43 and 44; and four boundaries corresponding to the sides of pixel 40 connecting the four corners (i.e., the four line segments from 41 to 42, from 42 to 44, from 41 to 43, and from 43 to 44).
In accordance with the present invention, each pixel intersected by an edge of the line segment is antialiased by changing the pixel intensity by an amount proportional to the area of the pixel covered by the line segment. Determination of the area of pixel coverage is a multiple step process which may be advantageously performed using line equations generated to draw the line segment and accordingly do not need to be computed separately solely for determination of pixel coverage.
The area of the pixel covered by a line segment may be readily determined from the intersection points of the line segment edges and the pixel boundaries. These intersection points may, in turn, be advantageously determined from the triangles formed between the edges and each of the four pixel corners. Referring to FIG. 2, the edge 10 intersects a vertical boundary of pixel 40 at point 45. All the corners of pixel 40 are known, including the lower left corner 41 and upper left corner 42.
Referring to FIG. 3, the edge end points, which are needed for the line equations defining the line segment edges irrespective of antialiasing, are made available to the antialiasing subsystem or algorithm as shown by input/output block 110. Referring again to FIG. 2, the end points 11 and 12 of line segment edge 10 are therefore known. As the area of a triangle formed by three known points can be readily determined using basic geometry, the areas of the eight triangles formed by the end points of the line segment edges 10 and 20 and the four corners of pixel 40 are readily calculated using addition, subtraction, multiplication and binary division.
Referring again to FIG. 2, triangle 50 is formed by the end points 11 and 12 and pixel corner 41. In a similar manner, triangle 60 is formed by the endpoints 11 and 12 and pixel corner 42. The location of the edge intercept 45 on the pixel boundary between pixel corners 41 and 42 is determined from the ratio of the triangle areas. This process is simultaneously or sequentially performed for each edge and each pixel boundary as indicated by processing block 120 of FIG. 3.
The three vertices of the triangle and the triangle ratio are also used to determine whether an edge intersects a pixel boundary and, if so, which of the pixel corners are inside the line segment (or polygon) of which the edge is a part. When the area of a triangle is determined from the three vertices using analytic geometry, the result is signed, as shown by equation 1 below
where x_{α} and y_{α} are the x and y coordinates of vertices a, b, and c of the triangle.
In an embodiment of the present invention, the distance from the edge to the pixel corner, which is proportional to the triangle area, may be determined from the signed magnitude of the cross product as shown in equation 2 below
where x_{α} and y_{α} are the x and y coordinates of vertices a, b, and c of the triangle formed by the two endpoints of the edge and the pixel corner.
Referring again to FIG. 2, the areas of triangles 50 and 60 have different signs. The sign of the triangle formed by the edge and the pixel corner indicates whether the pixel corner is covered by the line segment or lies outside of the line segment. For each line segment edge, triangles with vertices formed by covered pixel corners will have one sign and triangles with vertices formed by pixel corners that are not covered by the line segment will have the opposite sign.
In an embodiment of the present invention, a four bit field is associated with each edge of a line segment and each bit of the field is associated with a pixel corner. As each triangle is evaluated, the bit associated with the corner forming a vertex of the triangle may be set (or cleared) to indicate that the pixel is covered. The four bit field can then be readily evaluated (by, for example, masking using logical AND operations) during pixel coverage evaluation.
The ratio between the area of a first triangle formed by end points of an edge and a pixel corner and the result of the area of the first triangle less the area of a second triangle formed by the end points of the edge and the adjacent pixel corner on the same boundary is evaluated to determine whether the edge intersects the pixel boundary between the two pixel corners. If the ratio is not within the numeric range from zero to one, the edge does not intersect the pixel boundary between the two corners. If the ratio is greater than zero and less than one, then the edge intercepts the pixel boundary at the location indicated by the ratio. For example, if the ratio is ½, then the edge bisects the pixel boundary.
Once the pixel boundary and edge intersection points have been identified, the area bounded by each edge and the pixel boundary is determined using standard analytic geometry area calculations as shown in processing block 130 of FIG. 3. If the edge crosses two adjacent pixel boundary edges and only one pixel corner is covered by the line segment, the covered pixel region is a triangle and the area is computed from the base and height of the covered triangle region wherein the base and height are determined from the intersection points. If the edge crosses two adjacent pixel boundary edges and three pixel corners are covered by the line segment, then the covered pixel region is equal to the total pixel area less the area of the triangle formed by the edge and the uncovered pixel corner. The area of this triangle is readily determined from the base and height of the covered triangle region wherein the base and height are determined from the intersection points. If the edge crosses two opposite edges of the pixel boundary, then the covered area is equal to the area of a rectangle with one dimension equal to the length of a pixel boundary and the second dimension equal to the average of the distances from the included pixel boundary to the two pixel boundary edge intersection points.
Having separately determined the pixel coverage attributable to each edge, the total pixel coverage is determined by summing the pixel coverage attributable to each edge and subtracting the area of a pixel from the sum as shown by processing block 140 of FIG. 3. In an embodiment of the present invention where the pixel area is normalized, one is subtracted from the sum of the two pixel coverage areas attributable to each edge and the result is the total pixel area covered by the line segment.
A line segment that is being evaluated for antialiasing that does not extend beyond the display boundaries will include endpoints within pixels. In order to accurately antialias a pixel enclosing an edge endpoint, it is desirable to adjust the pixel coverage determination to reflect that the edge does not extend across the entire pixel. Therefore, as shown by decision block 150 of FIG. 3, a determination is made as to whether the pixel includes an endpoint. If the pixel does include an endpoint, the pixel area determination is corrected to compensate for the reduced pixel coverage as shown by processing block 160. In an embodiment of the present invention, the evaluated pixel coverage is treated as being linear across the pixel and is adjusted by a factor related to the actual end point location in the pixel. The calculated pixel coverage area is reduced in proportion to the extent to which the edge extends into the pixel. For example, if an edge ended in the middle of a pixel, the calculated pixel area coverage would be reduced by one half.
Once the pixel coverage area is determined, the gammacorrected coverage value is determined as shown by processing block 180. The gamma corrected coverage value is determined from the gamma correction coefficients and the pixel coverage area. The gamma correction coefficients describe the gamma correction curve. In an embodiment of the present invention, the gamma correction coefficients are the control point coefficients of a cubic spline describing the gamma correction curve. Applying the de Casteljau algorithm, the point on the gamma correction curve corresponding to the desired pixel intensity as indicated by the pixel area coverage is determined by linear interpolation. This point on the gamma correction curve corresponds to the gamma corrected coverage value.
In an embodiment of the present invention, the gamma corrected coverage value is used for alpha blending as shown by processing block 190 of FIG. 3. Alpha blending is a technique for color blending that is particularly useful for rendering opaque surfaces. In alpha blending, the antialiased line pixel color (source) is blended with the color of the pixel established by background objects (destination). In an embodiment of the present invention, the alpha blended color is defined as αS+(1−α)D where α is the gamma corrected coverage value, S is the source color (contributed by the antialiased line) and D is the pixel color before rendering the antialiased line.
In an alternative embodiment of the present invention, alpha blending is not used and the gamma corrected coverage value for each color component is applied directly to the display circuitry and the pixel (or subpixel) intensity corresponds directly to the gamma corrected coverage value.
A block diagram of a partial rasterizing engine illustrating elements used for antialiasing in accordance with an embodiment of the present invention is shown in FIG. 4. In the illustrated embodiment, the rasterizing engine receives instructions 210 (primarily graphical output primitives) from a transform engine (not shown). The received instructions are processed by parser 220 which transfers parsed instructions for drawing lines to line equation processor 230. The line equation processor 230 generates the line equations used to draw lines on a display. These line equations are evaluated to generate raster lines on the display, including identification of pixels covered by each generated raster line.
Once the line equations have been evaluated, each pixel is evaluated to determine how much of the pixel area is covered by the line segment in line antialias block 240. In an embodiment of the present invention in which pixels are evaluated in quads of four adjacent pixels, each edge is input to line antialias block 240 separately, and the input data include nine signed distances (one for each pixel corner in the quad) and an in sign status flag, indicating whether, relative to the edge being analyzed, a positive distance or a negative distance is in the line segment. Referring to FIG. 5, a quad of four pixels, 281, 282, 283, and 284 and a line segment with edges 291 and 292 are shown. Nine distance vectors 301, 302, 303, 304, 305, 306, 307, 308, and 309, from edge 291 to the nine corners of the quad are shown. Distance vectors 302, 303, 305, 306, 308 and 309 have the same sign and this sign is the in sign. Distance vectors 301, 304, and 307 have the opposite sign.
In an embodiment of the present invention, the signed distances are the signed magnitudes of the cross products of the edge end points and the pixel corners as defined in equation 2 above. In an alternative embodiment of the present invention in which only one pixel is processed at a time, only four signed distances (and an in sign flag) would be input to the line antialias block 240 for each edge.
The line antialias block outputs an endpoint corrected pixel area coverage value 245 for each pixel. The endpoint corrected pixel area coverage values are input into line gamma correction block 250. The line gamma correction block 250 also receives programmable coefficients 260 as inputs. Referring to FIG. 6, in an embodiment of the present invention, the programmable coefficients are cubic spline control points describing the gamma correction curve for the display associated with the computer graphics system. Preferably, the cubic spline approximation of the gamma correction curve is a Bézier curve.
The line gamma correction block implements the de Casteljau algorithm in which the point on a Bézier curve with a specified parameter may be determined by successive linear interpolations. In the illustrated embodiment of the present invention, the parameter is the endpoint corrected pixel area coverage value 245 and the Bézier curve is an approximation of the gamma correction curve.
As shown in FIG. 6, four Bézier curve control points, 261, 262, 263, and 264, are input into three linear interpolation blocks 271, 272, and 273 of line gamma correction block 250. The endpoint corrected pixel area coverage value 245 is the interpolation coefficient input into each of the linear interpolation blocks 271, 272, and 273. The linear interpolation block 271 outputs an interpolated result between control points 261 and 262 which is input to linear interpolation block 274. Similarly, linear interpolation block 272 outputs an interpolated result between control points 262 and 263 which is input into linear interpolation blocks 274 and 275 and linear interpolation block 273 outputs an interpolated result between control points 263 and 264 which is input into linear interpolation block 275. Linear interpolation blocks 274 and 275 also receive an interpolation coefficient from endpoint corrected pixel area coverage value 245 and each output a result interpolated between their respective inputs. The outputs of linear interpolation blocks 274 and 275 are input into linear interpolation block 276 which similarly receives an interpolation coefficient input of the endpoint corrected pixel area coverage value 245 and outputs a gamma corrected coverage value 270 which corresponds to the point on the gamma correction curve for the desired pixel (or sub pixel) intensity.
The gamma corrected coverage value 270 may be used as an input for alpha blending as described above or, alternatively, stored directly in a frame buffer.
Accordingly, a method and apparatus for antialiasing by gamma corrected pixel area calculation is disclosed in which pixel area coverage is advantageously computed without supersampling or requiring extensive computations that are difficult to efficiently implement in a computer system and gamma correction is readily and flexibly implemented without requiring unwieldy table operations.
Although various embodiments are specifically illustrated and described herein, it will be appreciated that modifications and variations of the present invention are covered by the above teachings and within the purview of the appended claims without departing from the spirit and intended scope of the invention. For example, the present invention is not limited to line antialiasing and is readily applicable to antialiasing of any polygon edge.
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Cited By (41)
Publication number  Priority date  Publication date  Assignee  Title 

US20020000988A1 (en) *  20000111  20020103  Sun Microsystems, Inc.  Rendering lines with sample weighting 
US20020114532A1 (en) *  20001219  20020822  Edward Ratner  Method and apparatus for deblurring and reblurring image segments 
US20040227767A1 (en) *  20020620  20041118  Alberto Baroncelli  Vector graphics circuit accelerator for display systems 
US20050179628A1 (en) *  20010907  20050818  Semiconductor Energy Laboratory Co., Ltd.  Light emitting device and method of driving the same 
US7081902B1 (en) *  20030924  20060725  Nvidia Corporation  Apparatus, system, and method for gamma correction of smoothed primitives 
US20070296725A1 (en) *  20060623  20071227  Steiner Walter R  Method for parallel fine rasterization in a raster stage of a graphics pipeline 
US20090027416A1 (en) *  20070726  20090129  Stmicroelectronics S.R.L.  Graphic antialiasing method and graphic system employing the method 
US20090027559A1 (en) *  20070723  20090129  Nec Electronics Corporation  Video signal processing apparatus performing gamma correction by cubic interpolation computation, and method thereof 
US20090051818A1 (en) *  20070821  20090226  Nec Electronics Corporation  Video signal processing device, video signal processing method and display device 
US20090058880A1 (en) *  20070904  20090305  Apple Inc.  Antialiasing of a graphical object 
US20090079747A1 (en) *  20060512  20090326  Nvidia Corporation  Distributed Antialiasing In A Multiprocessor Graphics System 
US20090086102A1 (en) *  20070927  20090402  Nec Electronics Corporation  Signal processing apparatus and signal processing method performing gamma correction 
US20110063302A1 (en) *  20090916  20110317  Nvidia Corporation  Compression for coprocessing techniques on heterogeneous graphics processing units 
US8237738B1 (en) *  20061102  20120807  Nvidia Corporation  Smooth rasterization of polygonal graphics primitives 
US8390645B1 (en)  20051219  20130305  Nvidia Corporation  Method and system for rendering connecting antialiased line segments 
US8427496B1 (en)  20050513  20130423  Nvidia Corporation  Method and system for implementing compression across a graphics bus interconnect 
US8427487B1 (en)  20061102  20130423  Nvidia Corporation  Multiple tile output using interface compression in a raster stage 
US8482567B1 (en)  20061103  20130709  Nvidia Corporation  Line rasterization techniques 
US20130300733A1 (en) *  20120511  20131114  Samsung Electronics Co., Ltd.  Method for processing image and image processing apparatus thereof 
US8681861B2 (en)  20080501  20140325  Nvidia Corporation  Multistandard hardware video encoder 
US8692844B1 (en)  20000928  20140408  Nvidia Corporation  Method and system for efficient antialiased rendering 
US8698811B1 (en)  20051215  20140415  Nvidia Corporation  Nested boustrophedonic patterns for rasterization 
US8704275B2 (en)  20040915  20140422  Nvidia Corporation  Semiconductor die micro electromechanical switch management method 
US8711161B1 (en)  20031218  20140429  Nvidia Corporation  Functional component compensation reconfiguration system and method 
US8711156B1 (en)  20040930  20140429  Nvidia Corporation  Method and system for remapping processing elements in a pipeline of a graphics processing unit 
US8724483B2 (en)  20071022  20140513  Nvidia Corporation  Loopback configuration for bidirectional interfaces 
US8732644B1 (en)  20030915  20140520  Nvidia Corporation  Micro electro mechanical switch system and method for testing and configuring semiconductor functional circuits 
US8768642B2 (en)  20030915  20140701  Nvidia Corporation  System and method for remotely configuring semiconductor functional circuits 
US8775997B2 (en)  20030915  20140708  Nvidia Corporation  System and method for testing and configuring semiconductor functional circuits 
US8780123B2 (en)  20071217  20140715  Nvidia Corporation  Interrupt handling techniques in the rasterizer of a GPU 
US8923385B2 (en)  20080501  20141230  Nvidia Corporation  Rewindenabled hardware encoder 
US9064333B2 (en)  20071217  20150623  Nvidia Corporation  Interrupt handling techniques in the rasterizer of a GPU 
US9117309B1 (en)  20051219  20150825  Nvidia Corporation  Method and system for rendering polygons with a bounding box in a graphics processor unit 
US9171350B2 (en)  20101028  20151027  Nvidia Corporation  Adaptive resolution DGPU rendering to provide constant framerate with free IGPU scale up 
US20160027390A1 (en) *  20140723  20160128  Samsung Display Co., Ltd.  Display apparatus and method of driving the display apparatus 
US9331869B2 (en)  20100304  20160503  Nvidia Corporation  Input/output request packet handling techniques by a device specific kernel mode driver 
US9530189B2 (en)  20091231  20161227  Nvidia Corporation  Alternate reduction ratios and threshold mechanisms for framebuffer compression 
US9591309B2 (en)  20121231  20170307  Nvidia Corporation  Progressive lossy memory compression 
US9607407B2 (en)  20121231  20170328  Nvidia Corporation  Variablewidth differential memory compression 
US9710894B2 (en)  20130604  20170718  Nvidia Corporation  System and method for enhanced multisample antialiasing 
US9832388B2 (en)  20140804  20171128  Nvidia Corporation  Deinterleaving interleaved high dynamic range image by using YUV interpolation 
Citations (4)
Publication number  Priority date  Publication date  Assignee  Title 

US5287438A (en)  19891117  19940215  Digital Equipment Corporation  System and method for drawing antialiased polygons 
US5333250A (en)  19920622  19940726  International Business Machines Corporation  Method and apparatus for drawing antialiased lines on a raster display 
US5528738A (en)  19931006  19960618  Silicon Graphics, Inc.  Method and apparatus for antialiasing raster scanned, polygonal shaped images 
US5684939A (en)  19930709  19971104  Silicon Graphics, Inc.  Antialiased imaging with improved pixel supersampling 
Patent Citations (4)
Publication number  Priority date  Publication date  Assignee  Title 

US5287438A (en)  19891117  19940215  Digital Equipment Corporation  System and method for drawing antialiased polygons 
US5333250A (en)  19920622  19940726  International Business Machines Corporation  Method and apparatus for drawing antialiased lines on a raster display 
US5684939A (en)  19930709  19971104  Silicon Graphics, Inc.  Antialiased imaging with improved pixel supersampling 
US5528738A (en)  19931006  19960618  Silicon Graphics, Inc.  Method and apparatus for antialiasing raster scanned, polygonal shaped images 
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Publication number  Priority date  Publication date  Assignee  Title 

US20020000988A1 (en) *  20000111  20020103  Sun Microsystems, Inc.  Rendering lines with sample weighting 
US6947057B2 (en) *  20000111  20050920  Sun Microsystems, Inc.  Rendering lines with sample weighting 
US8692844B1 (en)  20000928  20140408  Nvidia Corporation  Method and system for efficient antialiased rendering 
US6959117B2 (en) *  20001219  20051025  Pts Corporation  Method and apparatus for deblurring and reblurring image segments 
US20020114532A1 (en) *  20001219  20020822  Edward Ratner  Method and apparatus for deblurring and reblurring image segments 
US20050179628A1 (en) *  20010907  20050818  Semiconductor Energy Laboratory Co., Ltd.  Light emitting device and method of driving the same 
US8947328B2 (en) *  20010907  20150203  Semiconductor Energy Laboratory Co., Ltd.  Light emitting device and method of driving the same 
US20040227767A1 (en) *  20020620  20041118  Alberto Baroncelli  Vector graphics circuit accelerator for display systems 
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US8732644B1 (en)  20030915  20140520  Nvidia Corporation  Micro electro mechanical switch system and method for testing and configuring semiconductor functional circuits 
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US8788996B2 (en)  20030915  20140722  Nvidia Corporation  System and method for configuring semiconductor functional circuits 
US7081902B1 (en) *  20030924  20060725  Nvidia Corporation  Apparatus, system, and method for gamma correction of smoothed primitives 
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US9117309B1 (en)  20051219  20150825  Nvidia Corporation  Method and system for rendering polygons with a bounding box in a graphics processor unit 
US20090079747A1 (en) *  20060512  20090326  Nvidia Corporation  Distributed Antialiasing In A Multiprocessor Graphics System 
US8130227B2 (en) *  20060512  20120306  Nvidia Corporation  Distributed antialiasing in a multiprocessor graphics system 
US8928676B2 (en)  20060623  20150106  Nvidia Corporation  Method for parallel fine rasterization in a raster stage of a graphics pipeline 
US20070296725A1 (en) *  20060623  20071227  Steiner Walter R  Method for parallel fine rasterization in a raster stage of a graphics pipeline 
US8237738B1 (en) *  20061102  20120807  Nvidia Corporation  Smooth rasterization of polygonal graphics primitives 
US8427487B1 (en)  20061102  20130423  Nvidia Corporation  Multiple tile output using interface compression in a raster stage 
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US9106877B2 (en)  20070723  20150811  Renesas Electronics Corporation  Video signal processing apparatus performing gamma correction by cubic interpolation computation, and method thereof 
US20090027559A1 (en) *  20070723  20090129  Nec Electronics Corporation  Video signal processing apparatus performing gamma correction by cubic interpolation computation, and method thereof 
US8248493B2 (en) *  20070723  20120821  Renesas Electronics Corporation  Video signal processing apparatus performing gamma correction by cubic interpolation computation, and method thereof 
US7852350B2 (en) *  20070726  20101214  Stmicroelectronics S.R.L.  Graphic antialiasing method and graphic system employing the method 
US20090027416A1 (en) *  20070726  20090129  Stmicroelectronics S.R.L.  Graphic antialiasing method and graphic system employing the method 
US20090051818A1 (en) *  20070821  20090226  Nec Electronics Corporation  Video signal processing device, video signal processing method and display device 
EP2028837A3 (en) *  20070821  20101020  Renesas Electronics Corporation  Video signal processing device, video signal processing method and display device 
US8294730B2 (en) *  20070904  20121023  Apple Inc.  Antialiasing of a graphical object 
US20090058880A1 (en) *  20070904  20090305  Apple Inc.  Antialiasing of a graphical object 
US20090086102A1 (en) *  20070927  20090402  Nec Electronics Corporation  Signal processing apparatus and signal processing method performing gamma correction 
US8363168B2 (en) *  20070927  20130129  Renesas Electronics Corporation  Signal processing apparatus and signal processing method performing gamma correction 
US8724483B2 (en)  20071022  20140513  Nvidia Corporation  Loopback configuration for bidirectional interfaces 
US8780123B2 (en)  20071217  20140715  Nvidia Corporation  Interrupt handling techniques in the rasterizer of a GPU 
US9064333B2 (en)  20071217  20150623  Nvidia Corporation  Interrupt handling techniques in the rasterizer of a GPU 
US8923385B2 (en)  20080501  20141230  Nvidia Corporation  Rewindenabled hardware encoder 
US8681861B2 (en)  20080501  20140325  Nvidia Corporation  Multistandard hardware video encoder 
US8773443B2 (en)  20090916  20140708  Nvidia Corporation  Compression for coprocessing techniques on heterogeneous graphics processing units 
US20110063302A1 (en) *  20090916  20110317  Nvidia Corporation  Compression for coprocessing techniques on heterogeneous graphics processing units 
US9530189B2 (en)  20091231  20161227  Nvidia Corporation  Alternate reduction ratios and threshold mechanisms for framebuffer compression 
US9331869B2 (en)  20100304  20160503  Nvidia Corporation  Input/output request packet handling techniques by a device specific kernel mode driver 
US9171350B2 (en)  20101028  20151027  Nvidia Corporation  Adaptive resolution DGPU rendering to provide constant framerate with free IGPU scale up 
US20130300733A1 (en) *  20120511  20131114  Samsung Electronics Co., Ltd.  Method for processing image and image processing apparatus thereof 
US9591309B2 (en)  20121231  20170307  Nvidia Corporation  Progressive lossy memory compression 
US9607407B2 (en)  20121231  20170328  Nvidia Corporation  Variablewidth differential memory compression 
US9710894B2 (en)  20130604  20170718  Nvidia Corporation  System and method for enhanced multisample antialiasing 
US9406265B2 (en) *  20140723  20160802  Samsung Display Co., Ltd.  Display apparatus and method of driving the display apparatus 
US20160027390A1 (en) *  20140723  20160128  Samsung Display Co., Ltd.  Display apparatus and method of driving the display apparatus 
US9832388B2 (en)  20140804  20171128  Nvidia Corporation  Deinterleaving interleaved high dynamic range image by using YUV interpolation 
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